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Machine Learning Engineer

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

What you get to do in this role:

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

  • Build the best cloud-based AI/ML solutions to power intelligent enterprise services
  • Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
  • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users

Qualifications

To be successful in this role you have:

  • 2+ years expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that use challenging algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI/ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code tuning
  • Bachelors degree in Computer Science/Machine Learning preferred

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

For positions in this location, we offer a base pay of $137,300 - $212,900, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. 

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Average salary estimate

$175100 / YEARLY (est.)
min
max
$137300K
$212900K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Machine Learning Engineer, ServiceNow

Are you ready to take your career to the next level? At ServiceNow, we're on the lookout for a talented Machine Learning Engineer to join our Advanced Technology Group (ATG) at our Atlanta office. Imagine being part of a dynamic team focused on revolutionizing user experiences through intelligent software and innovative AI solutions! In this role, you'll collaborate with engineers, product managers, and researchers to build and evolve our AI platform, ensuring that both technical and non-technical users can easily utilize the cutting-edge solutions we create. You’ll have the chance to tackle exciting challenges, craft cloud-based AI/ML solutions, and contribute to enhancing workflow efficiency for our enterprise customers around the globe. We’re passionate about transforming the way organizations work, making it smarter and faster, and we need your unique skills to help us reach that goal. If you hold a passion for coding with a strong grasp of Java or Python, and you're eager to deploy new products while diving deep into algorithms, you might just be the perfect fit. Don’t worry if you don’t tick every box on our qualifications list—at ServiceNow, we embrace diversity and encourage candidates from all walks of life to apply. Let’s make the world work better together!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at ServiceNow
What are the main responsibilities of a Machine Learning Engineer at ServiceNow?

As a Machine Learning Engineer at ServiceNow, your key responsibilities will include building and enhancing cloud-based AI/ML solutions that improve the efficiency of enterprise services. You’ll collaborate with a talented team of engineers, product managers, and researchers to design, implement, test, and deliver innovative software. In addition, you will play a pivotal role in ensuring our AI solutions are user-friendly for both technical and non-technical users, enabling smarter workflows across organizations.

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What qualifications do I need to apply for the Machine Learning Engineer position at ServiceNow?

To apply for the Machine Learning Engineer position at ServiceNow, you should have at least 2 years of expertise in Java or Python, as well as familiarity with object-oriented programming and design patterns. A solid understanding of core AI/ML techniques and experience building new products with challenging algorithms is essential. A Bachelor's degree in Computer Science or a related field is preferred, but we welcome candidates from varied backgrounds and experiences.

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What kind of team will I be working with as a Machine Learning Engineer at ServiceNow?

At ServiceNow, you will be part of the Advanced Technology Group, a vibrant and collaborative team that includes applied scientists, engineers, product managers, and researchers. You will work together daily to innovate and create AI-powered work experiences while solving real-world problems. Team collaboration is central to our culture, ensuring that every member contributes their unique insights and expertise.

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Does ServiceNow offer remote work options for Machine Learning Engineers?

Yes, ServiceNow embraces flexibility in our work environment. Depending on the nature of the position and your personal work persona, you may have the option to work remotely, or in a hybrid setup, while enjoying the opportunity to collaborate with your team when necessary. We prioritize trust and flexibility to meet the varied needs of our employees.

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What is the salary range for a Machine Learning Engineer at ServiceNow?

The salary range for a Machine Learning Engineer at ServiceNow in Atlanta typically falls between $137,300 and $212,900, depending on your qualifications and experience. Additionally, we offer competitive equity and variable compensation as well as generous benefits such as health plans, 401(k) matching, and flexible time-off policies, contributing to a well-rounded compensation package.

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Common Interview Questions for Machine Learning Engineer
Can you explain a machine learning project you've worked on?

When answering this question, choose a specific project to discuss. Highlight your role, the technologies you used, and the impact of the project. Be clear about the problem you were solving and how your machine learning models contributed to the solution, as this showcases your practical experience.

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How do you approach selecting the right algorithm for a given problem?

In your response, discuss factors like the nature of the data, the problem type—whether it’s supervised or unsupervised—and model performance metrics. Give examples from your previous work to illustrate your decision-making process and understanding of algorithm selection.

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What methods do you use for model evaluation and validation?

Explain techniques like cross-validation, confusion matrices, and accuracy metrics. Discuss how you apply these concepts to ensure model robustness and reliability. Providing a scenario where you successfully evaluated a model will strengthen your answer.

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Can you describe your experience with Python for machine learning?

Highlight your proficiency in Python libraries for machine learning like TensorFlow, Scikit-learn, and Pandas. Discuss how you’ve used Python in past projects, focusing on how it's enabled you to implement algorithms effectively and efficiently.

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How do you handle missing or dirty data in your datasets?

Discuss techniques such as imputation, data cleaning, and transformation. Provide an example of a dataset where you successfully handled missing values and improved the model's performance as a result.

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What is a recent trend in machine learning that excites you?

Express your knowledge of current trends, such as advancements in deep learning, transfer learning, or AI ethics. Explain why you're excited about these trends and how they might influence future work in machine learning, particularly at ServiceNow.

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How do you ensure your code is efficient and well-structured?

Talk about practices like modular coding, documentation, and code reviews. Mention your approach to profiling and optimizing code performance while maintaining readability, which is crucial in collaborative environments like ServiceNow.

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What role does feature engineering play in machine learning, and how do you approach it?

Define feature engineering and its importance in enhancing model performance. Share your process for feature selection and transformation based on the problem context, and showcase an example of how effective feature engineering yielded better model results.

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Can you explain the bias-variance tradeoff?

Clarify the concepts of bias and variance and how they impact model performance. Discuss strategies you use to balance the two, such as regularization techniques or model complexity adjustments, and provide an instance where you had to address this in a project.

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Why do you want to work for ServiceNow as a Machine Learning Engineer?

Tailor your answer to reflect your alignment with ServiceNow’s mission and culture. Discuss your passion for AI and machine learning, your desire to work on impactful projects, and how you admire the company's commitment to inclusivity and innovation in the tech space.

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CULTURE VALUES
Inclusive & Diverse
Mission Driven
Rise from Within
Diversity of Opinions
Work/Life Harmony
Empathetic
Feedback Forward
Take Risks
Collaboration over Competition
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Conferences Stipend
Paid Time-Off
Maternity Leave
Equity
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 20, 2025

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